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Posted to mapreduce-issues@hadoop.apache.org by "Greg Roelofs (JIRA)" <ji...@apache.org> on 2011/04/08 05:16:36 UTC
[jira] [Commented] (MAPREDUCE-2405) MR-279: Implement
uber-AppMaster (in-cluster LocalJobRunner for MRv2)
[ https://issues.apache.org/jira/browse/MAPREDUCE-2405?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13017249#comment-13017249 ]
Greg Roelofs commented on MAPREDUCE-2405:
-----------------------------------------
Thanks, Mahadev! You're clearly a person of outstanding character, intelligence, and better-than-average looks. :-)
(I'll just note here that there's further work/fixes to be done, particularly including counters, UI, the memory and input-size uber-decision criteria, and AM-restart on task-attempt failures, but I'll file a follow-up JIRA for that.)
> MR-279: Implement uber-AppMaster (in-cluster LocalJobRunner for MRv2)
> ---------------------------------------------------------------------
>
> Key: MAPREDUCE-2405
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-2405
> Project: Hadoop Map/Reduce
> Issue Type: Improvement
> Components: mrv2
> Reporter: Mahadev konar
> Assignee: Greg Roelofs
> Fix For: 0.23.0
>
> Attachments: MR-2405-MR-1220-yarn.v10.MR-279-hadoop-yarn.patch.txt, MR-2405-MR-1220-yarn.v11.MR-279-hadoop-yarn.patch.txt, MR-2405-MR-1220-yarn.v8.MR-279-hadoop-yarn.patch.txt
>
>
> "Port" MAPREDUCE-1220 to MRv2. This is an optimization for small jobs wherein all tasks run on the same node in the same JVM/container.
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